Harnessing Interpretable Deep Learning to Predict Resistance in Klebsiella pneumoniae
Nicolas da Matta Freire Araujo, Márcia da Silva Chagas, Mateus Fernandes Santos, Renata Freire Alves Pereira, Rafaela C. Brum, Felipe Ramos Pinheiro, Melise Chaves Silveira, Felicita Mabel Duré, Beatriz de Lima Alessio Müller, Audrien Alves Andrade de Souza, Alessandra Beatriz Santos Rondon Souza, Ágatha Ferreira de Souza, Ana Paula D’Alincourt Carvalho-Assef, Aline dos Santos Moreira, Marcelo Trindade dos Santos, , Fabrício Alves Barbosa da Silva
This paper introduces DeepMDC, a deep learning model for predicting antimicrobial resistance in Klebsiella pneumoniae using whole-genome data, achieving strong performance and providing interpretable insights into resistance mechanisms.
Frontiers in Cellular and Infection Microbiology · May 28, 2026Peer-reviewedSystems Biology